Carmen A. Taype

428 total citations
7 papers, 347 citations indexed

About

Carmen A. Taype is a scholar working on Infectious Diseases, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Carmen A. Taype has authored 7 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 3 papers in Epidemiology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Carmen A. Taype's work include Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (3 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). Carmen A. Taype is often cited by papers focused on Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (3 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). Carmen A. Taype collaborates with scholars based in United Kingdom, Peru and United States. Carmen A. Taype's co-authors include Simon S. Wong, James S. Hagood, Stephan W. Glasser, Satish K. Madala, William D. Hardie, José R. Espinoza, Roberto A. Accinelli, M.‐A. Shaw, SM Shamsuzzaman and Kentaro Arikawa and has published in prestigious journals such as PLoS ONE, American Journal Of Pathology and Laboratory Investigation.

In The Last Decade

Carmen A. Taype

7 papers receiving 344 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Carmen A. Taype United Kingdom	7	168	155	117	105	67	7	347
Brian T. Campfield United States	11	106 0.6×	120 0.8×	45 0.4×	51 0.5×	94 1.4×	24	367
Yuka Obayashi Japan	13	121 0.7×	156 1.0×	195 1.7×	296 2.8×	39 0.6×	29	539
Anna Streubel Germany	8	138 0.8×	216 1.4×	46 0.4×	50 0.5×	74 1.1×	15	339
Donatien Moukassa Republic of the Congo	10	75 0.4×	158 1.0×	61 0.5×	73 0.7×	103 1.5×	57	373
Natascha Remus France	8	184 1.1×	160 1.0×	50 0.4×	48 0.5×	43 0.6×	16	324
F. Durupt France	8	114 0.7×	88 0.6×	53 0.5×	121 1.2×	104 1.6×	23	452
D. Sheppard United States	3	131 0.8×	180 1.2×	32 0.3×	185 1.8×	91 1.4×	4	436
Takuma Hara Japan	10	60 0.4×	49 0.3×	135 1.2×	88 0.8×	85 1.3×	19	398
Ju Ee Seet Singapore	11	75 0.4×	130 0.8×	54 0.5×	70 0.7×	143 2.1×	32	501
Toshiki Yamamoto Japan	11	98 0.6×	302 1.9×	56 0.5×	66 0.6×	91 1.4×	29	536

Countries citing papers authored by Carmen A. Taype

Since Specialization

Citations

This map shows the geographic impact of Carmen A. Taype's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Carmen A. Taype with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen A. Taype more than expected).

Fields of papers citing papers by Carmen A. Taype

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carmen A. Taype. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Carmen A. Taype. The network helps show where Carmen A. Taype may publish in the future.

Co-authorship network of co-authors of Carmen A. Taype

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen A. Taype. A scholar is included among the top collaborators of Carmen A. Taype based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carmen A. Taype. Carmen A. Taype is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Wong, Simon S., Carmen A. Taype, Tzu‐Pin Shentu, et al.. (2017). Thy-1 interaction with Fas in lipid rafts regulates fibroblast apoptosis and lung injury resolution. Laboratory Investigation. 97(3). 256–267. 44 indexed citations

2.

Glasser, Stephan W., James S. Hagood, Simon S. Wong, et al.. (2016). Mechanisms of Lung Fibrosis Resolution. American Journal Of Pathology. 186(5). 1066–1077. 110 indexed citations

3.

Carpenter, Danielle, Carmen A. Taype, J. M. R. Goulding, et al.. (2014). CCL3L1 copy number, CCR5genotype and susceptibility to tuberculosis. BMC Medical Genetics. 15(1). 5–5. 15 indexed citations

4.

Iwamoto, Tomotada, Louis Grandjean, Kentaro Arikawa, et al.. (2012). Genetic Diversity and Transmission Characteristics of Beijing Family Strains of Mycobacterium tuberculosis in Peru. PLoS ONE. 7(11). e49651–e49651. 77 indexed citations

5.

Taype, Carmen A., Roberto A. Accinelli, José R. Espinoza, et al.. (2012). Genetic diversity, population structure and drug resistance of Mycobacterium tuberculosis in Peru. Infection Genetics and Evolution. 12(3). 577–585. 35 indexed citations

6.

Taype, Carmen A., SM Shamsuzzaman, Roberto A. Accinelli, José R. Espinoza, & M.‐A. Shaw. (2010). Genetic susceptibility to different clinical forms of tuberculosis in the Peruvian population. Infection Genetics and Evolution. 10(4). 495–504. 37 indexed citations

7.

Taype, Carmen A., Juan C. Castro, Roberto A. Accinelli, et al.. (2006). Association between SLC11A1 polymorphisms and susceptibility to different clinical forms of tuberculosis in the Peruvian population. Infection Genetics and Evolution. 6(5). 361–367. 29 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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